emrcontainers: Amazon EMR Containers

In paws.compute: 'Amazon Web Services' Compute Services

Amazon EMR Containers

Description

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows you to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With this deployment option, you can focus on running analytics workloads while Amazon EMR on EKS builds, configures, and manages containers for open-source applications. For more information about Amazon EMR on EKS concepts and tasks, see What is shared id="EMR-EKS"/\>.

Amazon EMR containers is the API name for Amazon EMR on EKS. The emr-containers prefix is used in the following scenarios:

• It is the prefix in the CLI commands for Amazon EMR on EKS. For example, ⁠aws emr-containers start-job-run⁠.

• It is the prefix before IAM policy actions for Amazon EMR on EKS. For example, ⁠"Action": [ "emr-containers:StartJobRun"]⁠. For more information, see Policy actions for Amazon EMR on EKS.

• It is the prefix used in Amazon EMR on EKS service endpoints. For example, ⁠emr-containers.us-east-2.amazonaws.com⁠. For more information, see Amazon EMR on EKSService Endpoints.

Usage

emrcontainers(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config	Optional configuration of credentials, endpoint, and/or region. credentials: creds: access_key_id: AWS access key ID secret_access_key: AWS secret access key session_token: AWS temporary session token profile: The name of a profile to use. If not given, then the default profile is used. anonymous: Set anonymous credentials. endpoint: The complete URL to use for the constructed client. region: The AWS Region used in instantiating the client. close_connection: Immediately close all HTTP connections. timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds. s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠. sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html
credentials	Optional credentials shorthand for the config parameter creds: access_key_id: AWS access key ID secret_access_key: AWS secret access key session_token: AWS temporary session token profile: The name of a profile to use. If not given, then the default profile is used. anonymous: Set anonymous credentials.
endpoint	Optional shorthand for complete URL to use for the constructed client.
region	Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- emrcontainers(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

cancel_job_run	Cancels a job run
create_job_template	Creates a job template
create_managed_endpoint	Creates a managed endpoint
create_virtual_cluster	Creates a virtual cluster
delete_job_template	Deletes a job template
delete_managed_endpoint	Deletes a managed endpoint
delete_virtual_cluster	Deletes a virtual cluster
describe_job_run	Displays detailed information about a job run
describe_job_template	Displays detailed information about a specified job template
describe_managed_endpoint	Displays detailed information about a managed endpoint
describe_virtual_cluster	Displays detailed information about a specified virtual cluster
get_managed_endpoint_session_credentials	Generate a session token to connect to a managed endpoint
list_job_runs	Lists job runs based on a set of parameters
list_job_templates	Lists job templates based on a set of parameters
list_managed_endpoints	Lists managed endpoints based on a set of parameters
list_tags_for_resource	Lists the tags assigned to the resources
list_virtual_clusters	Lists information about the specified virtual cluster
start_job_run	Starts a job run
tag_resource	Assigns tags to resources
untag_resource	Removes tags from resources

Examples

## Not run: 
svc <- emrcontainers()
svc$cancel_job_run(
  Foo = 123
)

## End(Not run)

paws.compute documentation built on Sept. 12, 2023, 1:28 a.m.